llm-mention-tracking
llm-mention-tracking is an LLM evaluation & observability skill for AI agents, published by unifapi-agent in the agents repository on GitHub. Skillspace rates llm-mention-tracking C (74/100) and it passed the safety scan; the rating is based on static analysis only.
When the user wants to track how often their brand or domain gets mentioned across ChatGPT and AI search engines over a set of prompts, and how that share of voice compares to named competitors over time. Also use on "LLM mention tracking," "track AI mentions," "share of voice in AI," "AI share of voice," "brand mentions in ChatGPT," "am I being mentioned more or less," "AI visibility trend," or "monitor AI citations over time." For a one-time audit of a prompt set, see ai-visibility-audit.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 567
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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